Centre dedocumentation
scientifique

Using multi-agent simulation to predict natural crossing points for pedestrians and choose locations for mid-block crosswalks / Egor Smirrnov in Geo-spatial Information Science, vol 23 n° 4 (December 2020)  

Public [article]  inGeo-spatial Information Science > vol 23 n° 4 (December 2020) . - pp 362 - 374 Titre : Using multi-agent simulation to predict natural crossing points for pedestrians and choose locations for mid-block crosswalks Type de document : Article/Communication Auteurs : Egor Smirrnov, Auteur ; Sergei Dunaenko, Auteur ; Sergei Kudinov, Auteur Année de publication : 2020 Article en page(s) : pp 362 - 374 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] itinéraire piétionnier [Termes descripteurs IGN] modèle de simulation [Termes descripteurs IGN] navigation pédestre [Termes descripteurs IGN] optimisation par colonie de fourmis [Termes descripteurs IGN] piéton [Termes descripteurs IGN] plan de déplacement urbain [Termes descripteurs IGN] regroupement de données [Termes descripteurs IGN] sécurité routière [Termes descripteurs IGN] système multi-agents [Termes descripteurs IGN] urbanisme Résumé : (auteur) When arranging the pedestrian infrastructure, one of the most important components that make a tangible contribution to the safety of pedestrians is to organize the safe road crossing. In cities, pedestrians often cross a road in the wrong place due to established routes or inadequate location of crosswalks. Accidents with the participation of pedestrians who crossed the road neglecting the traffic rules, make up a significant part of the total amount of road accidents. In this paper, we propose a method that allows us, on the basis of the results of a computer simulation of pedestrian traffic, to obtain predicted routes for road crossing and to indicate optimal locations for crosswalks that take into account established pedestrian routes and increase their safety. The work describes an extension for the existing AntRoadPlanner simulation algorithm, which searches for and clusters points where pedestrians cross the roadway and suggests locations for new crosswalks. This method was tested on the basis of a comparative simulation of several territories before and after its application, as well as on the basis of a field study of the territories. The developed algorithm can also be used to search for other potentially dangerous places for pedestrians on plans of districts, for example, crossings in places with limited visibility. Numéro de notice : A2020-789 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2020.1847003 date de publication en ligne : 16/11/2020 En ligne : https://doi.org/10.1080/10095020.2020.1847003 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96551 [article]

Machine‐learning prediction models for pedestrian traffic flow levels: Towards optimizing walking routes for blind pedestrians / Achituv Cohen in Transactions in GIS, Vol 24 n° 5 (October 2020)  

Public [article]  inTransactions in GIS > Vol 24 n° 5 (October 2020) . - pp 1264-1279 Titre : Machine‐learning prediction models for pedestrian traffic flow levels: Towards optimizing walking routes for blind pedestrians Type de document : Article/Communication Auteurs : Achituv Cohen, Auteur ; Sagi Dalyot, Auteur Année de publication : 2020 Article en page(s) : pp 1264-1279 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] apprentissage automatique [Termes descripteurs IGN] classification par forêts aléatoires [Termes descripteurs IGN] données localisées des bénévoles [Termes descripteurs IGN] données spatiotemporelles [Termes descripteurs IGN] gestion des itinéraires [Termes descripteurs IGN] handicap [Termes descripteurs IGN] individu non-voyant [Termes descripteurs IGN] itinéraire piétionnier [Termes descripteurs IGN] modèle de simulation [Termes descripteurs IGN] navigation pédestre [Termes descripteurs IGN] OpenStreetMap [Termes descripteurs IGN] point d'intérêt [Termes descripteurs IGN] trafic routier Résumé : (Auteur) Navigation and orientation while walking in urban spaces pose serious challenges for blind pedestrians, sometimes even on a daily basis. Research shows the practicability of computerized weighted network route planning algorithms based on OpenStreetMap mapping data for calculating customized routes for blind pedestrians. While data about pedestrians and vehicle traffic flow at different times throughout the day influence the route choices of blind pedestrians, such data do not exist in OpenStreetMap. Quantifying the correlation between spatial structure and traffic flow could be used to fill this gap. As such, we investigated machine‐learning methods to develop a computerized model for predicting pedestrian traffic flow levels, with the objective of enriching the OpenStreetMap database. This article presents prediction results by implementing six machine‐learning algorithms based on parameters relating to the geometrical and topological configuration of streets in OpenStreetMap, as well as points‐of‐interest such as public transportation and shops. The Random Forest algorithm produced the best results, whereby 95% of the testing data were successfully predicted. These results indicate that machine‐learning algorithms can accurately generate necessary temporal data, which when combined with the available crowdsourced open mapping data could augment the reliability of route planning algorithms for blind pedestrians. Numéro de notice : A2020-700 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12674 date de publication en ligne : 04/08/2020 En ligne : https://doi.org/10.1111/tgis.12674 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96210 [article]

Comparing pedestrians’ gaze behavior in desktop and in real environments / Weihua Dong in Cartography and Geographic Information Science, Vol 47 n° 5 (September 2020)  

Public [article]  inCartography and Geographic Information Science > Vol 47 n° 5 (September 2020) . - pp 432 - 451 Titre : Comparing pedestrians’ gaze behavior in desktop and in real environments Type de document : Article/Communication Auteurs : Weihua Dong, Auteur ; Hua Liao, Auteur ; Bing Liu, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 432 - 451 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] analyse comparative [Termes descripteurs IGN] analyse visuelle [Termes descripteurs IGN] comportement [Termes descripteurs IGN] espace urbain [Termes descripteurs IGN] lecture de carte [Termes descripteurs IGN] monde virtuel [Termes descripteurs IGN] navigation pédestre [Termes descripteurs IGN] oculométrie [Termes descripteurs IGN] piéton [Termes descripteurs IGN] test statistique [Termes descripteurs IGN] travail [Termes descripteurs IGN] vision par ordinateur [Vedettes matières IGN] Géovisualisation Résumé : (auteur) This research is motivated by the widespread use of desktop environments in the lab and by the recent trend of conducting real-world eye-tracking experiments to investigate pedestrian navigation. Despite the existing significant differences between the real world and the desktop environments, how pedestrians’ visual behavior in real environments differs from that in desktop environments is still not well understood. Here, we report a study that recorded eye movements for a total of 82 participants while they were performing five common navigation tasks in an unfamiliar urban environment (N = 39) and in a desktop environment (N = 43). By analyzing where the participants allocated their visual attention, what objects they fixated on, and how they transferred their visual attention among objects during navigation, we found similarities and significant differences in the general fixation indicators, spatial fixation distributions and attention to the objects of interest. The results contribute to the ongoing debate over the validity of using desktop environments to investigate pedestrian navigation by providing insights into how pedestrians allocate their attention to visual stimuli to accomplish navigation tasks in the two environments. Numéro de notice : A2020-488 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2020.176251 date de publication en ligne : 29/05/2020 En ligne : https://doi.org/10.1080/15230406.2020.1762513 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95658 [article]

Réservation

Réserver ce document

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-2020051	SL	Revue	Centre de documentation	Revues en salle	Disponible

Breaking the eyes: how do users get started with a coordinated and multiple view geovisualization tool? / Izabela Golebiowska in Cartographic journal (the), Vol 57 n° 3 (August 2020)  

Public [article]  inCartographic journal (the) > Vol 57 n° 3 (August 2020) . - pp 235 - 248 Titre : Breaking the eyes: how do users get started with a coordinated and multiple view geovisualization tool? Type de document : Article/Communication Auteurs : Izabela Golebiowska, Auteur ; Tomasz Opach, Auteur ; Jan Ketil Rød, Auteur Année de publication : 2020 Article en page(s) : pp 235 - 248 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] analyse géovisuelle [Termes descripteurs IGN] comportement [Termes descripteurs IGN] exploration de données géographiques [Termes descripteurs IGN] interactivité [Termes descripteurs IGN] oculométrie [Termes descripteurs IGN] utilisateur [Termes descripteurs IGN] zone d'intérêt [Vedettes matières IGN] Géovisualisation Résumé : (auteur) Maps are frequently combined with data displays in the form of coordinated and multiple views (CMV). Although CMV are valuable geovisualization tools, novice users may find them complex and thus require explanation. However, no tutorial guidelines have been developed that indicate what is helpful in understanding CMV geovisualization tools. We therefore conducted a study on the learnability of a CMV tool, informed with eye-tracking data, talk-aloud and interaction logs. We have investigated how untrained users work with a CMV geovisualization tool. The study revealed that: (1) despite their initial confusion, users found the tested tool pleasant to play with while getting to grips with how dynamic brushing works, (2) when examining the tool’s interface, participants mainly looked freely at explanatory elements, such as labels and the legend, but they explored interactive techniques only to a limited degree. We conclude with tips about tutorial design and layout design for CMV tools. Numéro de notice : A2020-805 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00087041.2019.1660513 date de publication en ligne : 26/02/2020 En ligne : https://doi.org/10.1080/00087041.2019.1660513 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96764 [article]

Generation of crowd arrival and destination locations/times in complex transit facilities / Brian Ricks in The Visual Computer, vol 36 n° 8 (August 2020)  

Public [article]  inThe Visual Computer > vol 36 n° 8 (August 2020) . - pp 1651 - 1661 Titre : Generation of crowd arrival and destination locations/times in complex transit facilities Type de document : Article/Communication Auteurs : Brian Ricks, Auteur ; Andraw Dobson, Auteur ; Athanasios Krontiris, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 1651 - 1661 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] calcul d'itinéraire [Termes descripteurs IGN] données spatiotemporelles [Termes descripteurs IGN] origine - destination [Termes descripteurs IGN] piéton [Termes descripteurs IGN] simulation dynamique [Termes descripteurs IGN] spécification [Termes descripteurs IGN] transport collectif Résumé : (auteur) In order to simulate virtual agents in the replica of a real facility across a long time span, a crowd simulation engine needs a list of agent arrival and destination locations and times that reflect those seen in the actual facility. Working together with a major metropolitan transportation authority, we propose a specification that can be used to procedurally generate this information. This specification is both uniquely compact and expressive—compact enough to mirror the mental model of building managers and expressive enough to handle the wide variety of crowds seen in real urban environments. We also propose a procedural algorithm for generating tens of thousands of high-level agent paths from this specification. This algorithm allows our specification to be used with traditional crowd simulation obstacle avoidance algorithms while still maintaining the realism required for the complex, real-world simulations of a transit facility. Our evaluation with industry professionals shows that our approach is intuitive and provides controls at the right level of detail to be used in large facilities (200,000+ people/day). Numéro de notice : A2020-416 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s00371-019-01761-z date de publication en ligne : 14/10/2019 En ligne : https://doi.org/10.1007/s00371-019-01761-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95510 [article]

Advancing the theory and practice of system evaluation: a case study in geovisual analytics of social media / Alexander Savelyev in International journal of cartography, Vol 6 n° 2 (July 2020)  

Permalink

Effects of a navigation spoofing signal on a receiver loop and a UAV spoofing approach / Chao Ma in GPS solutions, Vol 24 n° 3 (July 2020)  

Permalink

Learning evolving user’s behaviors on location-based social networks / Ruizhi Wu in Geoinformatica [en ligne], vol 24 n° 3 (July 2020)  

Permalink

The image of subsurface geology / Ane Bang-Kittilsen in International journal of cartography, Vol 6 n° 2 (July 2020)  

Permalink

L'utilisateur a bouleversé le marché / Michel Kasser in Géomètre, n° 2182 (juillet - août 2020)

Permalink

An agent-based model of public space use / Kostas Cheliotis in Computers, Environment and Urban Systems, Vol 81 (May 2020)  

Permalink

An alternative to desktop GIS? Evaluating the cartographic and analytical capabilities of WebGIS platforms for teaching / Victoria Fast in Cartographic journal (the), Vol 57 n° 2 (May 2020)  

Permalink

Analyse spatio-temporelle des mobilités de randonneurs dans le PNR du Massif des Bauges / Colin Kerouanton (2020)  

Permalink

Inferring the scale and content of a map using deep learning / Guillaume Touya (2020)  

Permalink

Projet infos usagers et projet transport à la demande / Oriane Sobreira (2020) 

Permalink